To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.

• 摘要分类器的学习采用半监督贝叶斯方法，使用EM算法求解最大似然估计，实验结果表明能够获得较好的结果。